An intelligent crop disease detection system powered by YOLO and DeepSeek.一个由 YOLO 和 DeepSeek 驱动的智能农作物病害检测系统。采用 Vue.js、Spring Boot 和 Flask 构建的全栈微服务架构,支持对图片、视频和实时摄像头画面的病害进行实时分析。
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Updated
Jan 8, 2026 - Vue
An intelligent crop disease detection system powered by YOLO and DeepSeek.一个由 YOLO 和 DeepSeek 驱动的智能农作物病害检测系统。采用 Vue.js、Spring Boot 和 Flask 构建的全栈微服务架构,支持对图片、视频和实时摄像头画面的病害进行实时分析。
Crop Analyzer Web Application
🌿 AI-powered plant disease detection system using MobileNetV2 transfer learning. Detects 38 plant diseases across 14 crops with 98.55% accuracy. Built with TensorFlow, Keras, and Streamlit. Includes trained model, sample dataset, and web interface.
AI-powered Smart Farming Advisor built with Gemini AI, Multi-Agent Systems, MCP Servers, Streamlit, TensorFlow, and SQLite for intelligent agricultural recommendations.
Crop Disease Identification using Deep Learning
Symptom-based crop disease predictor + agricultural analytics dashboard for wheat, cotton, and sugarcane. Built with Flask and Pandas, with a visual symptom library and yield/production trend charts. Lightweight - no camera, no image upload, works on low-bandwidth connections.
crop diseases detection demo webapp => https://which-crop-disease.onrender.com |
KilimoPRO — AI-Powered Agricultural Intelligence Platform for Kenya & Africa. Web (kilimo.pro) + Android app + microservices backend + ML crop disease detection + data pipeline integrating KilimoSTAT, FAOSTAT, KALRO, Google Earth Engine.
A Deep Learning-based web application built using TensorFlow, Keras, and Flask to detect crop diseases from leaf images using a CNN model trained on Google Colab.
AI-powered plant disease detection & treatment system using MobileNetV3, TensorFlow Lite, and Flutter — 38-class deep learning with on-device inference for smart agriculture.
Phyto Lab is a Flask-based plant disease recognition system that uses machine learning to identify plant diseases from images, with support for batch uploads, user authentication, history tracking, multilingual UI, and AI-powered fallback analysis.
Real-Time IoT Telemetry & GPT-4o Agronomic Intelligence for Sustainable Commercial Farming
A cool project which has a lot of learning.
A smart Flutter app for detecting crop diseases using a CNN model deployed via Flask on Render. It verifies images, predicts diseases, and suggests treatments.
AI-powered Crop Disease Detection System using HTML, CSS, JavaScript and TensorFlow.
link of project
AI-powered crop disease detection and smart irrigation system built with React Native, Node.js, and EfficientNetB3
A Flask and TensorFlow based crop disease prediction system that detects plant diseases from leaf images and provides confidence scores, disease details, pesticide suggestions, and prevention tips.
A lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.
কৃষি এআই — বাংলাদেশের কৃষকদের জন্য এআই চালিত স্মার্ট কৃষি সহায়ক | Bengali-first Agricultural AI Assistant with Android-native PWA
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